Character Recognition

Character recognition is one of the pattern recognition technologies that are most widely used in practical applications. This book presents recent advances that are relevant to character recognition, from technical topics such as image processing, feature extraction or classification, to new applications including human-computer interfaces. The goal of this book is to provide a reference source for academic research and for professionals working in the character recognition field

Segmentation Of Intracranial Structures From Noncontrast Ct Images With Deep Learning

Presented in this work is an investigation of the application of artificially intelligent algorithms, namely deep learning, to generate segmentations for the application in functional avoidance radiotherapy treatment planning. Specific applications of deep learning for functional avoidance include generating hippocampus segmentations from computed tomography (CT) images and generating synthetic pulmonary perfusion images from four-dimensional CT (4DCT).A single institution dataset of 390 patients treated with Gamma Knife stereotactic radiosurgery was created. From these patients, the hippocampus was manually segmented on the high-resolution MR image and used for the development of the data processing methodology and model testing. It was determined that an attention-gated 3D residual network performed the best, with 80.2% of contours meeting the clinical trial acceptability criteria. After having determined the highest performing model architecture, the model was tested on data from the RTOG-0933 Phase II multi-institutional clinical trial for hippocampal avoidance whole brain radiotherapy. From the RTOG-0933 data, an institutional observer (IO) generated contours to compare the deep learning style and the style of the physicians participating in the phase II trial. The deep learning model performance was compared with contour comparison and radiotherapy treatment planning. Results showed that the deep learning contours generated plans comparable to the IO style, but differed significantly from the phase II contours, indicating further investigation is required before this technology can be apply clinically. Additionally, motivated by the observed deviation in contouring styles of the trial’s participating treating physicians, the utility of applying deep learning as a first-pass quality assurance measure was investigated. To simulate a central review, the IO contours were compared to the treating physician contours in attempt to identify unacceptable deviations. The deep learning model was found to have an AUC of 0.80 for left, 0.79 for right hippocampus, thus indicating the potential applications of deep learning as a first-pass quality assurance tool. The methods developed during the hippocampal segmentation task were then translated to the generation of synthetic pulmonary perfusion imaging for use in functional lung avoidance radiotherapy. A clinical data set of 58 pre- and post-radiotherapy SPECT perfusion studies (32 patients) with contemporaneous 4DCT studies were collected. From the data set, 50 studies were used to train a 3D-residual network, with a five-fold validation used to select the highest performing model instances (N=5). The highest performing instances were tested on a 5 patient (8 study) hold-out test set. From these predictions, 50th percentile contours of well-perfused lung were generated and compared to contours from the clinical SPECT perfusion images. On the test set the Spearman correlation coefficient was strong (0.70, IQR: 0.61-0.76) and the functional avoidance contours agreed well Dice of 0.803 (IQR: 0.750-0.810), average surface distance of 5.92 mm (IQR: 5.68-7.55) mm. This study indicates the potential applications of deep learning for the generation of synthetic pulmonary perfusion images but requires an expanded dataset for additional model testing

Feature Extraction Methods for Character Recognition

Not Include

Systematics 2008 - Programme and Abstracts

The Göttingen conference „Systematics 2008“ is the first joint meeting of the Gesellschaft für Biologische Systematik (GfBS) and the German Botanical Society, section Biodiversity and Evolutionary Biology (DBG), being the 10th Annual Meeting of the GfBS and the 18th International Symposium „Biodiversity and Evolutionary Biology“ of the DBG. The conference programme covers biological systematics in the widest sense and provides ample opportunities for oral and poster presentations on new advances in plant, animal and microbial systematics. This volume brings together the abstracts of invited speaches from the plenary sessions on „Progress in Deep Phylogeny“, „Speciation and Phylogeography“, and „New Trends in Biological Systematics“ as well as those of submitted talks and poster sessions.The Göttingen conference „Systematics 2008“ is the first joint meeting of the Gesellschaft für Biologische Systematik (GfBS) and the German Botanical Society, section Biodiversity and Evolutionary Biology (DBG), being the 10th Annual Meeting of the GfBS and the 18th International Symposium „Biodiversity and Evolutionary Biology“ of the DBG. The conference programme covers biological systematics in the widest sense and provides ample opportunities for oral and poster presentations on new advances in plant, animal and microbial systematics. This volume brings together the abstracts of invited speaches from the plenary sessions on „Progress in Deep Phylogeny“, „Speciation and Phylogeography“, and „New Trends in Biological Systematics“ as well as those of submitted talks and poster sessions

Programme and abstracts / Systematics 2008 : Göttingen 7-11 April 2008 / 10th Annual Meeting of the Gesellschaft für Biologische Systematik

The Göttingen conference Systematics 2008 is the first joint meeting of the Gesellschaft für Biologische Systematik (GfBS) and the German Botanical Society, section Biodiversity and Evolutionary Biology (DBG), being the 10th Annual Meeting of the GfBS and the 18th International Symposium Biodiversity and Evolutionary Biology of the DBG. The conference programme covers biological systematics in the widest sense and provides ample opportunities for oral and poster presentations on new advances in plant, animal and microbial systematics. This volume brings together the abstracts of invited speaches from the plenary sessions on Progress in Deep Phylogeny, Speciation and Phylogeography, and New Trends in Biological Systematics as well as those of submitted talks and poster sessions.The Göttingen conference Systematics 2008 is the first joint meeting of the Gesellschaft für Biologische Systematik (GfBp. and the German Botanical Society, section Biodiversity and Evolutionary Biology (DBG), being the 10th Annual Meeting of the GfBS and the 18th International Symposium Biodiversity and Evolutionary Biology of the DBG. The conference programme covers biological systematics in the widest sense and provides ample opportunities for oral and poster presentations on new advances in plant, animal and microbial systematics. This volume brings together the abstracts of invited speaches from the plenary sessions on Progress in Deep Phylogeny, Speciation and Phylogeography, and New Trends in Biological Systematics as well as those of submitted talks and poster sessions.Kongress: International Symposium Biodiversity and Evolutionary Biology ; 18 (Göttingen) : 2008.04.07-11 Annual meeting of the Gesellschaft für Biologische Systematik ; 10 (Göttingen) : 2008.04.07-11 Joint meeting of the Gesellschaft für Biologische Systematik and the German Botanical Society, Section Biodiversity and Evolutionary Biology ; 1 (Göttingen): 2008.04.07-1